Hyperbolic Discounting


Discounting is the tendency for people to have a stronger preference for more immediate payoffs relative to later payoffs. Hyperbolic discounting leads to choices that are inconsistent over time – people make choices today that their future selves would prefer not to have made, despite using the same reasoning.


(Datasets labeled with this bias will go here.)

Structural Analysis:

(Results of dataset analysis for patterns in structure, placement, tone, context, coreference, correlatives, and so on will go here.)

Proposed Algorithms:

(Proposed combinations of factors from the above analyses in algorithmic form for automated detection will go here.)

Positive Detection:

(Algorithms for bias-positive detection will go here.)

False-positive Detection:

(Algorithms for false-positive detection/filtering of the above bias-positive algorithms will go here.)

Certainty Mapping:

(Algorithms for the probability mapping between N mathematical dimensions for positive and false-positive algorithms will go here.)

Successful Algorithms:

(Tested successful algorithms will go here, along with their respective accuracy metrics and error data for further refinement.)